• DocumentCode
    1669585
  • Title

    Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

  • Author

    Hassanalieragh, Moeen ; Page, Alex ; Soyata, Tolga ; Sharma, Gaurav ; Aktas, Mehmet ; Mateos, Gonzalo ; Kantarci, Burak ; Andreescu, Silvana

  • Author_Institution
    Dept. of ECE, Univ. of Rochester, Rochester, NY, USA
  • fYear
    2015
  • Firstpage
    285
  • Lastpage
    292
  • Abstract
    Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health care is a particularly important one. Networked sensors, either worn on the body or embedded in our living environments, make possible the gathering of rich information indicative of our physical and mental health. Captured on a continual basis, aggregated, and effectively mined, such information can bring about a positive transformative change in the health care landscape. In particular, the availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post facto diagnose-and-treat reactive paradigm, to a proactive framework for prognosis of diseases at an incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b) enable personalization of treatment and management options targeted particularly to the specific circumstances and needs of the individual, and (c) help reduce the cost of health care while simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IoT in realizing this vision of the future of health care.
  • Keywords
    Internet of Things; biomedical telemetry; body area networks; cloud computing; health care; medical signal processing; patient monitoring; wireless sensor networks; Internet-of-Things; IoT sensing; cloud-based processing; health care; health monitoring; intelligent processing algorithms; mental health; networked sensors; physical health; post facto diagnose-and-treat reactive paradigm; Biomedical monitoring; Cloud computing; Medical diagnostic imaging; Medical services; Monitoring; Wearable sensors; IoT; analytics; remote health monitoring; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.47
  • Filename
    7207365